Evidence map›Paper›PMID 33918651›Full record

ArticleInternational journal of environmental research and public health2021

Social Vulnerability Indicators for Flooding in Aotearoa New Zealand.

Kylie Mason, Kirstin Lindberg, Carolin Haenfling, Allan Schori, Helene Marsters, Deborah Read, Barry Borman

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
15.9field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 65 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Kylie MasonEnvironmental Health Intelligence New Zealand, College of Health, Massey University, P.O. Box 756, Wellington 6140, New Zealand.ORCID 0000-0001-8565-3438
Kirstin LindbergEnvironmental Health Intelligence New Zealand, College of Health, Massey University, P.O. Box 756, Wellington 6140, New Zealand.
Carolin HaenflingEnvironmental Health Intelligence New Zealand, College of Health, Massey University, P.O. Box 756, Wellington 6140, New Zealand.
Allan SchoriEnvironmental Health Intelligence New Zealand, College of Health, Massey University, P.O. Box 756, Wellington 6140, New Zealand.
Helene MarstersEnvironmental Health Intelligence New Zealand, College of Health, Massey University, P.O. Box 756, Wellington 6140, New Zealand.
Deborah ReadEnvironmental Health Intelligence New Zealand, College of Health, Massey University, P.O. Box 756, Wellington 6140, New Zealand.
Barry BormanEnvironmental Health Intelligence New Zealand, College of Health, Massey University, P.O. Box 756, Wellington 6140, New Zealand.
Massey University · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Social vulnerability indicators are a valuable tool for understanding which population groups are more vulnerable to experiencing negative impacts from disasters, and where these groups live, to inform disaster risk management activities. While many approaches have been used to measure social vulnerability to natural hazards, there is no single method or universally agreed approach. This paper proposes a novel approach to developing social vulnerability indicators, using the example of flooding in Aotearoa New Zealand. A conceptual framework was developed to guide selection of the social vulnerability indicators, based on previous frameworks (including the MOVE framework), consideration of climate change, and a holistic view of health and wellbeing. Using this framework, ten dimensions relating to social vulnerability were identified: exposure; children; older adults; health and disability status; money to cope with crises/losses; social connectedness; knowledge, skills and awareness of natural hazards; safe, secure and healthy housing; food and water to cope with shortage; and decision making and participation. For each dimension, key indicators were identified and implemented, mostly using national Census population data. After development, the indicators were assessed by end users using a case study of Porirua City, New Zealand, then implemented for the whole of New Zealand. These indicators will provide useful data about social vulnerability to floods in New Zealand, and these methods could potentially be adapted for other jurisdictions and other natural hazards, including those relating to climate change.

Indexed as

DisastersFloodsAdaptation, PsychologicalAgedChildClimate ChangeHumansNew Zealanddisasterfloodinghealthindicatorsnatural hazardsresiliencesocial vulnerability

Identifiers

PMID33918651
PMCPMC8069610
OpenAlexW3153020802

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.